MétaCan
← all works

A global view of severe maternal morbidity: moving beyond maternal mortality

2018· review· en· 392 citations· W2808731100 on OpenAlex· 10.1186/s12978-018-0527-2

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.110
GPT teacher head0.435
Teacher spread
0.324 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

BACKGROUND: Maternal mortality continues to be of great public health importance, however for each woman who dies as the direct or indirect result of pregnancy, many more women experience life-threatening complications. The global burden of severe maternal morbidity (SMM) is not known, but the World Bank estimates that it is increasing over time. Consistent with rates of maternal mortality, SMM rates are higher in low- and middle-income countries (LMICs) than in high-income countries (HICs). SEVERE MATERNAL MORBIDITY IN HIGH-INCOME COUNTRIES: Since the WHO recommended that HICs with low maternal mortality ratios begin to examine SMM to identify systems failures and intervention priorities, researchers in many HICs have turned their attention to SMM. Where surveillance has been conducted, the most common etiologies of SMM have been major obstetric hemorrhage and hypertensive disorders. Of the countries that have conducted SMM reviews, the most common preventable factors were provider-related, specifically failure to identify "high risk" status, delays in diagnosis, and delays in treatment. SEVERE MATERNAL MORBIDITY IN LOW AND MIDDLE INCOME COUNTRIES: The highest burden of SMM is in Sub-Saharan Africa, where estimates of SMM are as high as 198 per 1000 live births. Hemorrhage and hypertensive disorders are the leading conditions contributing to SMM across all regions. Case reviews are rare, but have revealed patterns of substandard maternal health care and suboptimal use of evidence-based strategies to prevent and treat morbidity. EFFECTS OF SMM ON DELIVERY OUTCOMES AND INFANTS: Severe maternal morbidity not only puts the woman's life at risk, her fetus/neonate may suffer consequences of morbidity and mortality as well. Adverse delivery outcomes occur at a higher frequency among women with SMM. Reducing preventable severe maternal morbidity not only reduces the potential for maternal mortality but also improves the health and well-being of the newborn. CONCLUSION: Increasing global maternal morbidity is a failure to achieve broad public health goals of improved women's and infants' health. It is incumbent upon all countries to implement surveillance initiatives to understand the burden of severe morbidity and to implement review processes for assessing potential preventability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Reproductive Health
Topic
Maternal and fetal healthcare
Field
Medicine
Canadian institutions
Funders
University of British ColumbiaBill and Melinda Gates Foundation
Keywords
MedicinePublic healthPregnancyGlobal healthMaternal morbidityMaternal deathReproductive medicineEnvironmental healthMortality ratePediatricsIntensive care medicinePopulationSurgery
Has abstract in OpenAlex
yes